Jobs · Management · West Virginia

Part-time Adjunct Instructor - Department of Computer Science and Electrical Engineering- 28986

ManagementPart-time

Qualifications

Eligible candidates must hold an earned doctorate in Computer Science or Electrical Engineering or Computer Engineering or Software Engineering or a closely related discipline at the time of appointment. Work responsibility may include:

  • Advise/mentor online graduate students.
  • Teach and develop online asynchronous courses.
  • Teach in-person undergraduate or graduate students

Candidates with BS and MS degrees in Computer Science or Electrical Engineering or Computer Engineering or Software Engineering or a closely related discipline from an accredited university with significant (10+ years) industry experience will also be considered. Candidates with active research experience in their area of expertise, academic publications, and an interest in advising/mentoring doctoral students are highly desirable.

Requirements

To apply for this position, visit https://careers.wvu.edu/career-opportunities. Applicants must submit a cover letter that indicates the candidate’s specialty area of interest, a curriculum vitae, a one-page statement of teaching philosophy, and contact information for at least three professional references.

Benefits

West Virginia University provides faculty members with a supportive environment for developing a visible and productive career and a range of progressive policies to support work-life integration. WVU also offers a Dual Career Program to assist partners in their career transition and job search.

Pay

The Lane Department of Computer Science and Electrical Engineering at West Virginia University does not specify the pay for these positions.

Schedule

The Lane Department of Computer Science and Electrical Engineering at West Virginia University does not specify the schedule for these positions.

About the Role

The Lane Department of Computer Science and Electrical Engineering (LCSEE) at West Virginia University (WVU) invites applications for part-time adjunct instructor positions to support its ongoing expansion and the strategic initiative of enriching its online and in-person students’ education and research. The department seeks candidates with expertise in one or more of the following areas: Artificial Intelligence and Machine Learning, Cybersecurity, Computer Science, Software Engineering, Computer Engineering, Electrical Engineering.

Skills

The Lane Department of Computer Science and Electrical Engineering at West Virginia University (WVU) seeks candidates with skills in:

  • Expertise in Artificial Intelligence and Machine Learning.
  • Expertise in Cybersecurity.
  • Expertise in Computer Science.
  • Expertise in Software Engineering.
  • Expertise in Computer Engineering.
  • Expertise in Electrical Engineering.

Relevant Details

Additional details on the area and the university are available at http://www.morgantownwv.gov and https://www.wvu.edu. WVU is designated an R1 University (Highest Research Activity) by the Carnegie Classification of Institutions of Higher Education. The Lane Department of Computer Science and Electrical Engineering has 29 faculty members and approximately 750 undergraduate and 150 graduate students. WVU is designated by the National Security Agency (NSA) and the Department of Homeland Security (DHS) as a National Center of Academic Excellence in both Cyber Defense Research and Cyber Defense Education. WVU is a member of the USCYBERCOM academic engagement network (AEN) and the AFRL Information Institute. WVU is the founding site in the multi-university Center for Identification Technology Research (CITeR), an NSF Industry/University Cooperative Research Center (I/UCRC) with many center-funded opportunities for new faculty working in biometrics, machine learning, and computer vision. The Department also offers a graduate area of emphasis in Computational Data Science and digital health. The Department is home to a master’s in Software Engineering program that is fully online and highly ranked in collaboration with Coursera.

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